{"id":"W7045773817","doi":"","title":"Bracing for Impact - The AI Challenge - IP &amp; Commercialization - Policy Considerations","year":2018,"lang":"en","type":"article","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Corporate governance; George (robot); Field (mathematics); Emerging technologies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02106824,0.0005798239,0.0009964003,0.001862475,0.01619256,0.04302139,0.003739473,0.0366687,0.02869206],"category_scores_gemma":[0.03942849,0.0006103602,0.0006823406,0.002981061,0.0313369,0.02563037,0.007734067,0.02145495,0.002795837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06314042,"about_ca_system_score_gemma":0.1640722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5831857,"about_ca_topic_score_gemma":0.5899726,"domain_scores_codex":[0.977226,0.004075819,0.0005172098,0.0027567,0.009264103,0.006160055],"domain_scores_gemma":[0.968197,0.01325845,0.001366662,0.001324739,0.00849898,0.00735424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001855709,0.0000338103,0.0003999556,0.00007205678,0.000006099953,0.0001468861,0.0008344036,0.000279767,0.0001840282,0.8458298,0.1398837,0.01231097],"study_design_scores_gemma":[0.00003888494,0.0000293202,0.001919901,0.0003939928,0.00001310169,0.0001023788,0.004419147,0.001001855,0.0003625572,0.2662494,0.7253991,0.00007022719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001698102,0.003887725,0.0007742437,0.9050365,0.0005752863,0.00003077144,0.00007386297,0.00003417303,0.0878892],"genre_scores_gemma":[0.3137086,0.01670017,0.003647977,0.4975355,0.00283694,0.0002121234,0.0001836936,0.0002030096,0.164972],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5831857,"threshold_uncertainty_score":0.8385379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055584947574689,"score_gpt":0.3981175052603383,"score_spread":0.3475616557845914,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}